As AI becomes a top priority on enterprise agendas, organizations are rapidly increasing investment and expecting measurable returns. According to Lenovo's 2026 CIO Playbook, AI now ranks as the #1 business priority for North American leaders, with 96% of organizations increasing spend and 94% anticipating positive ROI. Despite this momentum, most enterprises remain stuck in pilot stages, especially when it comes to Agentic AI highlighting a critical gap between planning and execution.

This session will examine why Agentic AI represents a fundamentally new paradigm rather than simply an evolution of large language model (LLM) deployments. Unlike traditional AI workloads, agentic systems are multi-step and action-driven, placing significantly greater demands on infrastructure, including compute, storage, networking, orchestration, and governance - leading to 15x-50x increase in token consumption. Through real-world examples, we'll explore how Agentic AI is already driving transformative outcomes at scale, from supply chain optimization to productivity and sustainability improvements.

Attendees will leave with a clearer understanding of the infrastructure decisions required to support these next-generation workloads and how to align their architecture with rapidly evolving AI demands. The session will conclude with an overview of how organizations can overcome procurement bottlenecks, accelerate deployment timelines, and transition from AI strategy to execution within a single quarter.